Run a multiple linear regression in SPSS, create a series of tables that depict the results. Test for multicollinearity in SPSS format a table and discuss findings.
stats | gcse |
1 | 1 |
1 | 1 |
1 | 3 |
2 | 3 |
2 | 3 |
2 | 4 |
2 | 5 |
3 | 1 |
3 | 2 |
3 | 3 |
3 | 3 |
3 | 4 |
3 | 4 |
4 | 2 |
4 | 2 |
4 | 2 |
5 | 3 |
5 | 3 |
5 | 5 |
5 | 6 |
6 | 4 |
6 | 5 |
6 | 4 |
6 | 4 |
6 | 4 |
Steps in SPSS:
Analyze--->Regression--->Linear--->Statistics--->Collinearity diagnostics:
To check Multicollinearity use VIF(Variance Inflation Factor).
If the VIF is equal to 1 there is no multicollinearity among factors:
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